Abstract: Techniques and apparatus for generating, performing, and evaluating virtual clinical trials that include clinic modules to represent real-world operational aspects of trial entities are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to generate a plurality of avatars configured to model a health condition associated with a population of patients, and to perform a virtual clinical trial to simulate a course of treatment for the plurality of avatars, the virtual clinical trial to include at least one clinic module associated with at least one event and a probability for the at least one event, the at least one event to model an operational aspect of an entity of the virtual clinical trial. Other embodiments are described.

Abstract: Techniques and apparatus for generating, performing, and evaluating virtual clinical trials that include clinic modules to represent real-world operational aspects of trial entities are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to generate a plurality of avatars configured to model a health condition associated with a population of patients, and to perform a virtual clinical trial to simulate a course of treatment for the plurality of avatars, the virtual clinical trial to include at least one clinic module associated with at least one event and a probability for the at least one event, the at least one event to model an operational aspect of an entity of the virtual clinical trial. Other embodiments are described.

Abstract: A method includes: receiving measurements of a blood-related parameter corresponding to a patient undergoing hemodialysis; estimating a value of one or more hemodialysis treatment-related parameters by applying a vascular refill model based on the received measurements of the blood-related parameter, wherein the one or more hemodialysis treatment-related parameters are indicative of an effect of vascular refill on the patient caused by the hemodialysis; determining, based on the one or more estimated values of the one or more hemodialysis treatment-related parameters, a hemodialysis treatment-related operation; and facilitating performance of the treatment-related operation. The vascular refill model is a two-compartment model based on a first compartment corresponding to blood plasma in the patient's body, a second compartment based on interstitial fluid in the patient's body, and a semi-permeable membrane separating the first compartment and the second compartment.

Abstract: Described herein are computer systems and methods for generating, in silico, one or more virtual patients. The one or more virtual patients can be used, for example, to conduct a virtual clinical trial, such as to determine an efficacy of a therapy or medical device. The one or more virtual patients mathematically represent a physiological system in an actual patient for a health condition. Also, the one or more virtual patients can be used, for example, to determine an adverse effect from a therapy or any other deviation from a therapy, or compliance of a patient suffering from a health condition on a therapeutic protocol.

Abstract: Techniques and apparatus for generating, performing, and evaluating virtual clinical trials that include clinic modules to represent real-world operational aspects of trial entities are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to generate a plurality of avatars configured to model a health condition associated with a population of patients, and to perform a virtual clinical trial to simulate a course of treatment for the plurality of avatars, the virtual clinical trial to include at least one clinic module associated with at least one event and a probability for the at least one event, the at least one event to model an operational aspect of an entity of the virtual clinical trial. Other embodiments are described.

Abstract: Described herein are computer systems and methods for generating, in silico, one or more virtual patients. The one or more virtual patients can be used, for example, to conduct a virtual clinical trial, such as to determine an efficacy of a therapy or medical device. The one or more virtual patients mathematically represent a physiological system in an actual patient for a health condition. Also, the one or more virtual patients can be used, for example, to determine an adverse effect from a therapy or any other deviation from a therapy, or compliance of a patient suffering from a health condition on a therapeutic protocol.

Abstract: Techniques and apparatus for generating, performing, and evaluating virtual clinical trials that include clinic modules to represent real-world operational aspects of trial entities are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to generate a plurality of avatars configured to model a health condition associated with a population of patients, and to perform a virtual clinical trial to simulate a course of treatment for the plurality of avatars, the virtual clinical trial to include at least one clinic module associated with at least one event and a probability for the at least one event, the at least one event to model an operational aspect of an entity of the virtual clinical trial. Other embodiments are described.

Abstract: A method includes: receiving measurements of a blood-related parameter corresponding to a patient undergoing hemodialysis; estimating a value of one or more hemodialysis treatment-related parameters by applying a vascular refill model based on the received measurements of the blood-related parameter, wherein the one or more hemodialysis treatment-related parameters are indicative of an effect of vascular refill on the patient caused by the hemodialysis; determining, based on the one or more estimated values of the one or more hemodialysis treatment-related parameters, a hemodialysis treatment-related operation; and facilitating performance of the treatment-related operation. The vascular refill model is a two-compartment model based on a first compartment corresponding to blood plasma in the patient's body, a second compartment based on interstitial fluid in the patient's body, and a semi-permeable membrane separating the first compartment and the second compartment.

Abstract: A method includes: receiving measurements of a blood-related parameter corresponding to a patient undergoing hemodialysis; estimating a value of one or more hemodialysis treatment-related parameters by applying a vascular refill model based on the received measurements of the blood-related parameter, wherein the one or more hemodialysis treatment-related parameters are indicative of an effect of vascular refill on the patient caused by the hemodialysis; determining, based on the one or more estimated values of the one or more hemodialysis treatment-related parameters, a hemodialysis treatment-related operation; and facilitating performance of the treatment-related operation. The vascular refill model is a two-compartment model based on a first compartment corresponding to blood plasma in the patient's body, a second compartment based on interstitial fluid in the patient's body, and a semi-permeable membrane separating the first compartment and the second compartment.

Abstract: A method of adjusting a patient's undesired hematocrit and/or hemoglobin concentration to a value within a desired range at a predetermined time with an erythropoiesis stimulating agent (ESA) regimen includes obtaining patient parameters required for input into a model for predicting the patient's hematocrit and/or hemoglobin concentration at a predetermined time with a selected ESA administration regimen, and employing the patient parameters and an initially selected EPO administration regimen in the model to predict the patient's hematocrit and/or hemoglobin concentration at the predetermined time with the initially selected ESA administration regimen.

Abstract: Techniques and apparatus for generating, performing, and evaluating virtual clinical trials that include clinic modules to represent real-world operational aspects of trial entities are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to generate a plurality of avatars configured to model a health condition associated with a population of patients, and to perform a virtual clinical trial to simulate a course of treatment for the plurality of avatars, the virtual clinical trial to include at least one clinic module associated with at least one event and a probability for the at least one event, the at least one event to model an operational aspect of an entity of the virtual clinical trial. Other embodiments are described.

Abstract: A method includes: receiving measurements of a blood-related parameter corresponding to a patient undergoing hemodialysis; estimating a value of one or more hemodialysis treatment-related parameters by applying a vascular refill model based on the received measurements of the blood-related parameter, wherein the one or more hemodialysis treatment-related parameters are indicative of an effect of vascular refill on the patient caused by the hemodialysis; determining, based on the one or more estimated values of the one or more hemodialysis treatment-related parameters, a hemodialysis treatment-related operation; and facilitating performance of the treatment-related operation. The vascular refill model is a two-compartment model based on a first compartment corresponding to blood plasma in the patient's body, a second compartment based on interstitial fluid in the patient's body, and a semi-permeable membrane separating the first compartment and the second compartment.

Abstract: A method of adjusting a patient's undesired hematocrit and/or hemoglobin concentration to a value within a desired range at a predetermined time with an erythropoiesis stimulating agent (ESA) regimen includes obtaining patient parameters required for input into a model for predicting the patient's hematocrit and/or hemoglobin concentration at a predetermined time with a selected ESA administration regimen, the model including iron homeostasis, and employing the patient parameters and an initially selected ESA administration regimen in the model to predict the patient's hematocrit and/or hemoglobin concentration at the predetermined time with the initially selected ESA administration regimen. The method then includes administering ESA to the patient with an ESA administration regimen predicted to adjust the patient's hematocrit and/or hemoglobin concentration to the desired range at the predetermined time. The method can be implemented in a hemodialysis system.

Abstract: Described herein are computer systems and methods for generating, in silico, one or more virtual patients. The one or more virtual patients can be used, for example, to conduct a virtual clinical trial, such as to determine an efficacy of a therapy or medical device. The one or more virtual patients mathematically represent a physiological system in an actual patient for a health condition. Also, the one or more virtual patients can be used, for example, to determine an adverse effect from a therapy or any other deviation from a therapy, or compliance of a patient suffering from a health condition on a therapeutic protocol.

Abstract: A method of adjusting a patient's undesired hematocrit and/or hemoglobin concentration to a value within a desired range at a predetermined time with an erythropoiesis stimulating agent (ESA) regimen includes obtaining patient parameters required for input into a model for predicting the patient's hematocrit and/or hemoglobin concentration at a predetermined time with a selected ESA administration regimen, and employing the patient parameters and an initially selected EPO administration regimen in the model to predict the patient's hematocrit and/or hemoglobin concentration at the predetermined time with the initially selected ESA administration regimen.

Abstract: A method of adjusting a patient's undesired hematocrit and/or hemoglobin concentration to a value within a desired range at a predetermined time with an erythropoiesis stimulating agent (ESA) regimen includes obtaining patient parameters required for input into a model for predicting the patient's hematocrit and/or hemoglobin concentration at a predetermined time with a selected ESA administration regimen, the model including iron homeostasis, and employing the patient parameters and an initially selected ESA administration regimen in the model to predict the patient's hematocrit and/or hemoglobin concentration at the predetermined time with the initially selected ESA administration regimen. The method then includes administering ESA to the patient with an ESA administration regimen predicted to adjust the patient's hematocrit and/or hemoglobin concentration to the desired range at the predetermined time. The method can be implemented in a hemodialysis system.

Abstract: The invention provides a device and method for wireless transmission of energy. An electromagnetic field used for transmitting energy is generated using a resonator system comprising a plurality of weakly coupled resonators, the resonator system having a plurality of eigenmodes with different eigenfrequencies. At least one generator is coupled to one of the resonators. The resonator is configured to operate the resonator system at one of the plurality of eigenmodes, thereby generating a spatially coherent magnetic field adapted for transmitting energy to an appliance.

Abstract: A circuit arrangement for generating light pulses includes an electro-optical converter; a switching element; and a charge store. The electro-optical converter is connected to the charge store via the switching element. The closing of the switching element triggers a discharging process in the charge store and, in the process, generates an electrical pulse that is converted to a light pulse in the electro-optical converter. First and second impedance matching circuits are arranged, respectively, between the charge store and the switching element and between the switching element and the electro-optical converter.

Abstract: A circuit arrangement for generating light pulses includes an electro-optical converter; a switching element; and a charge store. The electro-optical converter is connected to the charge store via the switching element. The closing of the switching element triggers a discharging process in the charge store and, in the process, generates an electrical pulse that is converted to a light pulse in the electro-optical converter. First and second impedance matching circuits are arranged, respectively, between the charge store and the switching element and between the switching element and the electro-optical converter.

Abstract: The invention relates to a device (1) for writing on thermographic material (5). The inventive device (1) comprises a heater (20) with which the thermographic material (5) is preheated to a temperature, which is lower than a writing temperature. The thermographic material (5) can be written on with a writing instrument (10) which is distanced from the thermographic material (5) after input of an information signal (s(t)). The writing instrument (10) has a plurality of individually controllable point sources (30-33; 51-53). The thermographic material (5) can be written on in a point-by-point manner with said point sources (30-33; 51-53).